Maram Hasanain

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Social media platforms are a major source of information for both the general public and for journalists. Journalists use Twitter and other social media services to gather story ideas, to find eyewitnesses, and for a wide range of other purposes. One way in which journalists use Twitter is to ask questions. This paper reports on an empirical investigation(More)
Over the past years, Twitter has earned a growing reputation as a hub for communication, and events advertisement and tracking. However, several recent research studies have shown that Twitter users (and microblogging platforms' users in general) are increasingly posting microblogs containing questions seeking answers from their readers. To help those users(More)
In the first appearance of Qatar University (QU) at Text REtrieval Conference (TREC), our submitted microblog runs explored different ways of expanding the context of both queries and tweets to overcome the sparsity and lack of context problems. Since the task is real-time, we have also considered the temporal aspect, once combined with tweet expansion(More)
This paper presents our participation in the microblog and LiveQA tracks in TREC-2015. Both tracks required building a “real-time” system that monitors a data stream and responds to users’ information needs in real-time. For the microblog track, given a set of users’ interest profiles, we developed two online filtering systems that recommend “relevant” and(More)
Research on event detection in Twitter is often obstructed by the lack of publicly-available evaluation mechanisms such as test collections; this problem is more severe when considering the scarcity of them in languages other than English. In this paper, we present EveTAR, the first publicly-available test collection for event detection in Arabic tweets.(More)
Entrepreneurship education in engineering and technology is lacking in majority of Universities worldwide. More attention to engineering entrepreneurship education has been emerging recently. In this paper, a literature review on entrepreneurship and engineering entrepreneurship education is provided. The main findings of the review indicate the very new(More)
In this paper, we describe our QU-BIGIR system for the Arabic subtask D of the SemEval 2017 Task 3. Our approach builds on our participation in the past version of the same subtask. This year, our system uses different similarity features that encodes lexical and semantic pairwise similarity of text pairs. In addition to wellknown similarity measures such(More)
Microblogging platforms and Twitter specifically have become a major resource for exploring diverse topics of interest that vary from the world’s breaking news to other topics such as sports, science, religion and even personal daily updates. Nevertheless, one by herself cannot easily follow her topics of interest while tackling the challenges that stem(More)